Philip D. Farber

613 total citations
9 papers, 550 citations indexed

About

Philip D. Farber is a scholar working on Epidemiology, Pathology and Forensic Medicine and Applied Psychology. According to data from OpenAlex, Philip D. Farber has authored 9 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Pathology and Forensic Medicine and 2 papers in Applied Psychology. Recurrent topics in Philip D. Farber's work include Substance Abuse Treatment and Outcomes (3 papers), Behavioral Health and Interventions (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). Philip D. Farber is often cited by papers focused on Substance Abuse Treatment and Outcomes (3 papers), Behavioral Health and Interventions (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). Philip D. Farber collaborates with scholars based in United States. Philip D. Farber's co-authors include Khalil A. Khavari and Larry D. Reid and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Journal of Abnormal Psychology and Educational and Psychological Measurement.

In The Last Decade

Philip D. Farber

8 papers receiving 508 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Philip D. Farber United States	7	241	163	101	95	83	9	550
Donald P. Corriveau United States	12	145 0.6×	100 0.6×	124 1.2×	173 1.8×	62 0.7×	20	549
Karen M. Jennison United States	10	304 1.3×	99 0.6×	68 0.7×	135 1.4×	123 1.5×	12	582
Darren James United Kingdom	9	202 0.8×	86 0.5×	99 1.0×	103 1.1×	63 0.8×	10	440
Greg T. Smith United States	6	385 1.6×	133 0.8×	63 0.6×	189 2.0×	77 0.9×	19	682
Gillian Leigh Canada	10	168 0.7×	53 0.3×	44 0.4×	55 0.6×	85 1.0×	14	396
Nicole M. Bekman United States	12	219 0.9×	92 0.6×	64 0.6×	151 1.6×	45 0.5×	14	450
Pamela A. F. Madden United States	6	130 0.5×	49 0.3×	116 1.1×	115 1.2×	76 0.9×	6	646
Aleksander Pulver Estonia	10	94 0.4×	68 0.4×	62 0.6×	181 1.9×	65 0.8×	20	473
Carmen S. van der Zwaluw Netherlands	15	226 0.9×	59 0.4×	64 0.6×	254 2.7×	63 0.8×	19	648
Ranne de Waart Netherlands	7	250 1.0×	64 0.4×	67 0.7×	128 1.3×	67 0.8×	8	462

Countries citing papers authored by Philip D. Farber

Since Specialization

Citations

This map shows the geographic impact of Philip D. Farber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip D. Farber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip D. Farber more than expected).

Fields of papers citing papers by Philip D. Farber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Farber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip D. Farber. The network helps show where Philip D. Farber may publish in the future.

Co-authorship network of co-authors of Philip D. Farber

This figure shows the co-authorship network connecting the top 25 collaborators of Philip D. Farber. A scholar is included among the top collaborators of Philip D. Farber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip D. Farber. Philip D. Farber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Farber, Philip D., et al.. (1980). A factor analytic study of reasons for drinking: Empirical validation of positive and negative reinforcement dimensions.. Journal of Consulting and Clinical Psychology. 48(6). 780–781. 139 indexed citations

2.

Khavari, Khalil A., et al.. (1980). Three types of extreme drug users identified by a replicated cluster analysis.. Journal of Abnormal Psychology. 89(2). 240–249. 6 indexed citations

3.

Farber, Philip D., et al.. (1980). A factor analytic study of reasons for drinking: Empirical validation of positive and negative reinforcement dimensions.. Journal of Consulting and Clinical Psychology. 48(6). 780–781. 98 indexed citations

4.

Khavari, Khalil A., et al.. (1980). Three types of extreme drug users identified by a replicated cluster analysis.. Journal of Abnormal Psychology. 89(2). 240–249. 7 indexed citations

5.

Khavari, Khalil A., et al.. (1979). A scale for the indirect assessment of alcohol intake. The alcohol use predictor scale.. Journal of Studies on Alcohol. 40(7). 683–692. 7 indexed citations

6.

Khavari, Khalil A., et al.. (1979). A Comparison of Classical and Latent Trait Item Analysis Procedures. Educational and Psychological Measurement. 39(2). 337–352.

7.

Khavari, Khalil A. & Philip D. Farber. (1978). A profile instrument for the quantification and assessment of alcohol consumption. The Khavari Alcohol Test.. Journal of Studies on Alcohol. 39(9). 1525–1539. 227 indexed citations

8.

Farber, Philip D. & Larry D. Reid. (1976). Addictive agents and intracranial stimulation (ICS): Daily morphine and pressing for combinations of positive and negative ICS. Physiological Psychology. 4(3). 262–268. 19 indexed citations

9.

Farber, Philip D., et al.. (1976). Morphine injections in the taste aversion paradigm. Physiological Psychology. 4(3). 365–368. 47 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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