SOCR Data Dinov 072108 H Index Pubs

SOCR Data - Faculty Research Publications, Hirsch-Index and Citation Impact

Data Description

H-Index Description

The data table below present the (total) publication counts and their corresponding citation impacts for 5 UCLA faculty (Toga, De Leeuw, Yuille, Dinov and Hansen). The Index column contains the ordered list of publications for all 5 faculty. The cell values included in a specific author-column contain the number of citations for that author for each index (i.e., for each of their publications). Note that for each author-column, these values are monotonically-decreasing. So, index i for author k and index j for author m represent completely different publications.

Sources

• Google Scholar
• QuadSearch

Data Interpretation

These data are not intended to compare, rank or evaluate any of the UCLA faculty included (or not included) in this table. The data are provided simply for the purpose of demonstrating various SOCR tools, applets, resources and to supplement existent learning activities (e.g., EBook). You can see the H-indexes and more graphs of the publications and impact for each of these faculty here: Toga, De Leeuw, Yuille, Dinov and Hansen, as of June 2008.

Probability of faculty promotion

Research publication play an important component of faculty performance evaluation and promotion. The formula used in sciences (statistics, biostatistics, biomath, etc.) for estimating the probability of faculty promotion (from assistant to associate, or from associate to full professor) is described below.

• See this video
• Log-odds-ratio: $$ \ln( \frac{P(promotion=Yes)}{P(Promotion=No)}) = intercept (-1.0, for assistant2associate, -3.0, for assocaite2full)$$

$$ + 0.01*(\# articles) + 0.01*(Courses taught)$$ $$-0.05*(student ratings, 0-100\% excellent) - 0.05*(papers refereed/year)$$ $$+ 1.0*(faculty service, 0-100\%) $$ $$-1.0*(institutional correction factor, 0 (NoMansU) to 1(Harvard), UMich=0.9).$$

• Example: $Log-odds-ratio = -3 + 0.01*(100) + 0.01*(10) -0.05*(20) - 0.05*(5) + 1.0*(10) -1.0*(0.9) = 5.95$. Thus, the odds of Promotion is $61:1$.

Data Table

Index	Toga	De_Leeuw	Yuille	Dinov	Hansen
1	413	843	1055	65	712
2	352	301	280	54	216
3	327	292	250	46	137
4	315	174	200	45	66
5	289	135	161	42	30
6	276	134	132	33	27
7	259	92	125	32	25
8	256	91	97	26	20
9	236	86	75	24	19
10	203	85	73	17	17
11	189	79	64	15	14
12	181	76	62	13	10
13	180	73	61	11	9
14	167	70	59	10	9
15	166	70	57	9	8
16	166	67	48	9	7
17	161	63	37	8	7
18	151	60	34	7	7
19	150	60	30	5	6
20	147	58	29	5	6
21	146	58	23	5	6
22	124	56	23	4	5
23	113	54	22	4	5
24	110	53	19	4	5
25	108	51	19	4	4
26	105	50	18	4	3
27	99	49	16	4	3
28	98	49	14	4	3
29	88	49	13	4	3
30	88	46	12	4	3
31	83	45	11	3	3
32	82	45	11	3	3
33	82	45	8	3	3
34	81	42	8	3	2
35	80	41	7	2	2
36	78	40	7	2	2
37	73	40	7	2	1
38	71	39	7	2	1
39	70	38	6	2	1
40	68	37	6	2	1
41	66	37	6	2	1
42	65	37	5	2	1
43	65	36	5	2	1
44	62	35	5	2	1
45	62	35	5	2	1
46	61	35	5	2	1
47	60	35	5	2	1
48	60	33	4	2	1
49	60	33	4	1	1
50	58	30	4	1	1
51	57	30	4	1	1
52	56	29	3	1	1
53	54	28	3	1	0
54	54	28	2	1	0
55	54	27	2	1	0
56	54	27	2	1	0
57	53	27	2	1	0
58	52	27	2	1	0
59	51	27	2	1	0
60	49	24	1	1	0
61	49	24	1	1	0
62	48	24	1	1	0
63	46	23	1	1	0
64	46	23	1	1	0
65	46	22	1	0	0
66	45	22	1	0	0
67	45	22	1	0	0
68	45	22	0	0	0
69	45	21	0	0	0
70	44	21	0	0	0
71	42	21	0	0	0
72	42	20	0	0	0
73	42	20	0	0	0
74	42	20	0	0	0
75	41	20	0	0	0
76	40	19	0	0	0
77	40	18	0	0	0
78	40	18	0	0	0
79	40	18	0	0	0
80	40	18	0	0	0
81	39	17	0	0	0
82	39	17	0	0	0
83	38	16	0	0	0
84	38	16	0	0	0
85	38	16	0	0	0
86	37	16	0	0	0
87	37	16	0	0	0
88	37	16	0	0	0
89	37	16	0	0	0
90	37	16	0	0	0
91	37	16	0	0	0
92	35	15	0	0	0
93	35	15	0	0	0
94	35	15	0	0	0
95	34	15	0	0	0
96	33	15	0	0	0
97	33	15	0	0	0
98	33	15	0	0	0
99	33	15	0	0	0
100	33	15	0	0	0
101	32	14	0	0	0
102	31	14	0	0	0
103	31	14	0	0	0
104	30	14	0	0	0
105	30	14	0	0	0
106	30	14	0	0	0
107	29	14	0	0	0
108	28	13	0	0	0
109	28	13	0	0	0
110	28	13	0	0	0
111	28	13	0	0	0
112	27	13	0	0	0
113	27	13	0	0	0
114	27	13	0	0	0
115	27	13	0	0	0
116	26	13	0	0	0
117	26	12	0	0	0
118	26	12	0	0	0
119	26	12	0	0	0
120	25	12	0	0	0
121	25	12	0	0	0
122	25	11	0	0	0
123	25	11	0	0	0
124	25	11	0	0	0
125	24	10	0	0	0
126	24	10	0	0	0
127	24	10	0	0	0
128	24	10	0	0	0
129	23	10	0	0	0
130	23	9	0	0	0
131	23	9	0	0	0
132	22	9	0	0	0
133	22	9	0	0	0
134	22	9	0	0	0
135	22	9	0	0	0
136	21	9	0	0	0
137	21	9	0	0	0
138	21	8	0	0	0
139	21	8	0	0	0
140	21	8	0	0	0
141	20	8	0	0	0
142	20	8	0	0	0
143	19	8	0	0	0
144	19	8	0	0	0
145	19	8	0	0	0
146	19	8	0	0	0
147	19	8	0	0	0
148	18	8	0	0	0
149	18	8	0	0	0
150	18	7	0	0	0
151	18	7	0	0	0
152	18	7	0	0	0
153	18	7	0	0	0
154	18	7	0	0	0
155	17	7	0	0	0
156	17	6	0	0	0
157	17	6	0	0	0
158	17	6	0	0	0
159	17	6	0	0	0
160	17	6	0	0	0
161	17	6	0	0	0
162	17	5	0	0	0
163	17	5	0	0	0
164	16	5	0	0	0
165	16	5	0	0	0
166	16	5	0	0	0
167	16	5	0	0	0
168	16	5	0	0	0
169	15	5	0	0	0
170	15	5	0	0	0
171	15	5	0	0	0
172	15	5	0	0	0
173	15	5	0	0	0
174	14	4	0	0	0
175	14	4	0	0	0
176	14	4	0	0	0
177	14	4	0	0	0
178	14	4	0	0	0
179	14	4	0	0	0
180	13	4	0	0	0
181	13	4	0	0	0
182	13	4	0	0	0
183	13	4	0	0	0
184	13	4	0	0	0
185	13	4	0	0	0
186	13	4	0	0	0
187	13	4	0	0	0
188	13	4	0	0	0
189	13	3	0	0	0
190	12	3	0	0	0
191	12	3	0	0	0
192	12	3	0	0	0
193	12	3	0	0	0
194	12	3	0	0	0
195	12	3	0	0	0
196	11	3	0	0	0
197	11	3	0	0	0
198	11	3	0	0	0
199	11	3	0	0	0
200	11	3	0	0	0
201	11	2	0	0	0
202	11	2	0	0	0
203	11	2	0	0	0
204	11	2	0	0	0
205	11	2	0	0	0
206	11	2	0	0	0
207	10	2	0	0	0
208	10	2	0	0	0
209	10	2	0	0	0
210	10	2	0	0	0
211	10	2	0	0	0
212	10	2	0	0	0
213	10	2	0	0	0
214	10	2	0	0	0
215	10	2	0	0	0
216	10	2	0	0	0
217	10	2	0	0	0
218	10	2	0	0	0
219	10	2	0	0	0
220	10	2	0	0	0
221	10	2	0	0	0
222	9	2	0	0	0
223	9	2	0	0	0
224	9	2	0	0	0
225	9	1	0	0	0
226	9	1	0	0	0
227	9	1	0	0	0
228	9	1	0	0	0
229	9	1	0	0	0
230	9	1	0	0	0
231	9	1	0	0	0
232	9	1	0	0	0
233	9	1	0	0	0
234	9	1	0	0	0
235	9	1	0	0	0
236	9	1	0	0	0
237	8	1	0	0	0
238	8	1	0	0	0
239	8	1	0	0	0
240	8	1	0	0	0
241	8	1	0	0	0
242	8	1	0	0	0
243	8	1	0	0	0
244	8	1	0	0	0
245	8	1	0	0	0
246	8	1	0	0	0
247	8	0	0	0	0
248	8	0	0	0	0
249	8	0	0	0	0
250	7	0	0	0	0
251	7	0	0	0	0
252	7	0	0	0	0
253	7	0	0	0	0
254	7	0	0	0	0
255	7	0	0	0	0
256	7	0	0	0	0
257	7	0	0	0	0
258	7	0	0	0	0
259	7	0	0	0	0
260	7	0	0	0	0
261	7	0	0	0	0
262	7	0	0	0	0
263	6	0	0	0	0
264	6	0	0	0	0
265	6	0	0	0	0
266	6	0	0	0	0
267	6	0	0	0	0
268	6	0	0	0	0
269	6	0	0	0	0
270	6	0	0	0	0
271	6	0	0	0	0
272	6	0	0	0	0
273	6	0	0	0	0
274	6	0	0	0	0
275	6	0	0	0	0
276	6	0	0	0	0
277	6	0	0	0	0
278	6	0	0	0	0
279	5	0	0	0	0
280	5	0	0	0	0
281	5	0	0	0	0
282	5	0	0	0	0
283	5	0	0	0	0
284	5	0	0	0	0
285	5	0	0	0	0
286	5	0	0	0	0
287	5	0	0	0	0
288	5	0	0	0	0
289	5	0	0	0	0
290	5	0	0	0	0
291	5	0	0	0	0
292	5	0	0	0	0
293	5	0	0	0	0
294	5	0	0	0	0
295	5	0	0	0	0
296	4	0	0	0	0
297	4	0	0	0	0
298	4	0	0	0	0
299	4	0	0	0	0
300	4	0	0	0	0
301	4	0	0	0	0
302	4	0	0	0	0
303	4	0	0	0	0
304	4	0	0	0	0
305	4	0	0	0	0
306	4	0	0	0	0
307	4	0	0	0	0
308	4	0	0	0	0
309	4	0	0	0	0
310	4	0	0	0	0
311	4	0	0	0	0
312	4	0	0	0	0
313	4	0	0	0	0
314	4	0	0	0	0
315	4	0	0	0	0
316	4	0	0	0	0
317	4	0	0	0	0
318	4	0	0	0	0
319	4	0	0	0	0
320	4	0	0	0	0
321	4	0	0	0	0
322	4	0	0	0	0
323	4	0	0	0	0
324	4	0	0	0	0
325	4	0	0	0	0
326	4	0	0	0	0
327	4	0	0	0	0
328	4	0	0	0	0
329	4	0	0	0	0
330	4	0	0	0	0
331	4	0	0	0	0
332	4	0	0	0	0
333	4	0	0	0	0
334	4	0	0	0	0
335	4	0	0	0	0
336	4	0	0	0	0
337	3	0	0	0	0
338	3	0	0	0	0
339	3	0	0	0	0
340	3	0	0	0	0
341	3	0	0	0	0
342	3	0	0	0	0
343	3	0	0	0	0
344	3	0	0	0	0
345	3	0	0	0	0
346	3	0	0	0	0
347	3	0	0	0	0
348	3	0	0	0	0
349	3	0	0	0	0
350	3	0	0	0	0
351	3	0	0	0	0
352	3	0	0	0	0
353	3	0	0	0	0
354	3	0	0	0	0
355	3	0	0	0	0
356	3	0	0	0	0
357	3	0	0	0	0
358	3	0	0	0	0
359	3	0	0	0	0
360	3	0	0	0	0
361	3	0	0	0	0
362	3	0	0	0	0
363	3	0	0	0	0
364	3	0	0	0	0
365	3	0	0	0	0
366	3	0	0	0	0
367	3	0	0	0	0
368	3	0	0	0	0
369	2	0	0	0	0
370	2	0	0	0	0
371	2	0	0	0	0
372	2	0	0	0	0
373	2	0	0	0	0
374	2	0	0	0	0
375	2	0	0	0	0
376	2	0	0	0	0
377	2	0	0	0	0
378	2	0	0	0	0
379	2	0	0	0	0
380	2	0	0	0	0
381	2	0	0	0	0
382	2	0	0	0	0
383	2	0	0	0	0
384	2	0	0	0	0
385	2	0	0	0	0
386	2	0	0	0	0
387	2	0	0	0	0
388	2	0	0	0	0
389	2	0	0	0	0
390	2	0	0	0	0
391	2	0	0	0	0
392	2	0	0	0	0
393	2	0	0	0	0
394	2	0	0	0	0
395	2	0	0	0	0
396	2	0	0	0	0
397	2	0	0	0	0
398	2	0	0	0	0
399	2	0	0	0	0
400	2	0	0	0	0
401	2	0	0	0	0
402	2	0	0	0	0
403	2	0	0	0	0
404	2	0	0	0	0
405	2	0	0	0	0
406	2	0	0	0	0
407	2	0	0	0	0
408	2	0	0	0	0
409	2	0	0	0	0
410	2	0	0	0	0
411	2	0	0	0	0
412	2	0	0	0	0
413	2	0	0	0	0
414	2	0	0	0	0
415	2	0	0	0	0
416	2	0	0	0	0
417	2	0	0	0	0
418	2	0	0	0	0
419	2	0	0	0	0
420	2	0	0	0	0
421	2	0	0	0	0
422	2	0	0	0	0
423	2	0	0	0	0
424	2	0	0	0	0
425	2	0	0	0	0
426	2	0	0	0	0
427	2	0	0	0	0
428	2	0	0	0	0
429	2	0	0	0	0
430	2	0	0	0	0
431	2	0	0	0	0
432	2	0	0	0	0
433	2	0	0	0	0
434	2	0	0	0	0
435	2	0	0	0	0
436	2	0	0	0	0
437	2	0	0	0	0
438	2	0	0	0	0
439	2	0	0	0	0
440	2	0	0	0	0
441	2	0	0	0	0
442	2	0	0	0	0
443	2	0	0	0	0
444	2	0	0	0	0
445	2	0	0	0	0
446	2	0	0	0	0
447	2	0	0	0	0
448	2	0	0	0	0
449	2	0	0	0	0
450	2	0	0	0	0
451	2	0	0	0	0
452	2	0	0	0	0
453	2	0	0	0	0
454	2	0	0	0	0
455	2	0	0	0	0
456	2	0	0	0	0
457	2	0	0	0	0
458	2	0	0	0	0
459	2	0	0	0	0
460	2	0	0	0	0
461	2	0	0	0	0
462	2	0	0	0	0
463	2	0	0	0	0
464	1	0	0	0	0
465	1	0	0	0	0
466	1	0	0	0	0
467	1	0	0	0	0
468	1	0	0	0	0
469	1	0	0	0	0
470	1	0	0	0	0
471	1	0	0	0	0
472	1	0	0	0	0
473	1	0	0	0	0
474	1	0	0	0	0
475	1	0	0	0	0
476	1	0	0	0	0
477	1	0	0	0	0
478	1	0	0	0	0
479	1	0	0	0	0
480	1	0	0	0	0
481	1	0	0	0	0
482	1	0	0	0	0
483	1	0	0	0	0
484	1	0	0	0	0
485	1	0	0	0	0
486	1	0	0	0	0
487	1	0	0	0	0
488	1	0	0	0	0
489	1	0	0	0	0
490	1	0	0	0	0
491	1	0	0	0	0
492	1	0	0	0	0
493	1	0	0	0	0
494	1	0	0	0	0
495	1	0	0	0	0
496	1	0	0	0	0
497	1	0	0	0	0
498	1	0	0	0	0

Models, Graphs and Plots

The plots below demonstrate fitting Beta-distribution models to each of the number-of-citations included in the author-columns above. These model-fits and graphs are produced by SOCR Modeler, but one may also use SOCR Charts for similar plots. The insert images within each graph show the best fit for the Beta-distribution parameters.

• Arthur W. Toga

• De Leeuw

• Alan L. Yuille

• Ivo Dinov

• Mark H. Hansen

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• SOCR Home page: http://www.socr.umich.edu

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