Daniel O. Segall

12 papers receiving 364 citations

Peers

Daniel O. Segall
Comparison fields: 5 of 71
  • Management Science and Operations Research 210
  • Statistics and Probability 66
  • Experimental and Cognitive Psychology 63
  • Computer Networks and Communications 106
  • Organizational Behavior and Human Resource Management 36
Replace Gerard L. Kiely with:
Gerard L. Kiely United States
William R. Koch United States
Robert D. Ankenmann United States
Mary Pommerich United States
Gary Skaggs United States
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Daniel O. Segall relative to Gerard L. Kiely United States Gerard L. Kiely's profile →
Citations per field
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Gerard L. Kiely · 1×
Citations per year

Countries citing papers authored by Daniel O. Segall

Since Specialization
Citations

This map shows the geographic impact of Daniel O. Segall'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 Daniel O. Segall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel O. Segall more than expected).

Fields of papers citing papers by Daniel O. Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel O. Segall. 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 Daniel O. Segall. The network helps show where Daniel O. Segall may publish in the future.

Co-authors

The 11 scholars most cited alongside Daniel O. Segall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel O. Segall Line = papers co-authored together Daniel O. Segall links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1996166
2 200686
3 198038
4 200137
5 200421
6 200219
7 199416
8 201413
9 199410
10 20087
11 19937
12
Calibrating CAT Pools and Online Pretest Items Using Marginal Maximum Likelihood Methods
20045

About Daniel O. Segall

Daniel O. Segall is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology, Software and Statistics and Probability, having authored 12 papers that have together received 425 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Advanced Statistical Modeling Techniques (6 papers), Software Reliability and Analysis Research (2 papers), Cognitive Abilities and Testing (2 papers), Personality Traits and Psychology (1 paper), Social and Intergroup Psychology (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Cognitive and developmental aspects of mathematical skills (1 paper). The work is most often cited by research in Management Science and Operations Research (210 citations), Statistics and Probability (66 citations), Experimental and Cognitive Psychology (63 citations), Computer Networks and Communications (106 citations) and Organizational Behavior and Human Resource Management (36 citations). Daniel O. Segall has collaborated with scholars based in United States. Frequent co-authors include Ronald E. Riggio, Howard S. Frıedman, Kenneth Pearlman, Nancy T. Tippins, James C. Beaty, Fritz Drasgow, William Shepherd, Mary Pommerich, Lihua Yao and Bruce Bloxom. Their work appears in journals such as Psychometrika, Journal of Educational and Behavioral Statistics, Applied Psychological Measurement, Journal of Educational Measurement and Learning and Individual Differences.

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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