Clement A. Stone

83 papers receiving 2.2k citations

Peers

Clement A. Stone
Comparison fields: 5 of 165
  • Management Science and Operations Research 591
  • Statistics and Probability 272
  • Cellular and Molecular Neuroscience 347
  • Computer Networks and Communications 318
  • Applied Psychology 68
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Countries citing papers authored by Clement A. Stone

Since Specialization
Citations

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

Fields of papers citing papers by Clement A. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clement A. Stone. 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 Clement A. Stone. The network helps show where Clement A. Stone may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Clement A. Stone, 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 Clement A. Stone Line = papers co-authored together Clement A. Stone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201613
2 201218
3 201218
4 200625
5 200356
6
Assessing the efficiency of item selection in computerized adaptive testing
20022
7 200143
8 20001
9 19993
10 199923
11
A Framework for Evaluating the Consequences of Assessment Programs.
199832
12 199849
13 199651
14 199614
15 1990160
16 19842
17 198410
18 19664
19 1963176
20 196334

About Clement A. Stone

Clement A. Stone is a scholar working on Management Science and Operations Research, Statistics and Probability, Research and Theory, Information Systems and Management and Developmental and Educational Psychology, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (22 papers), Advanced Statistical Modeling Techniques (15 papers), Educational Assessment and Improvement (6 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), School Choice and Performance (5 papers), Educational and Psychological Assessments (5 papers), Teacher Education and Leadership Studies (5 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Management Science and Operations Research (591 citations), Statistics and Probability (272 citations), Cellular and Molecular Neuroscience (347 citations), Computer Networks and Communications (318 citations) and Applied Psychology (68 citations). Clement A. Stone has collaborated with scholars based in United States, France and China. Frequent co-authors include Curt C. Porter, Suzanne Lane, James A. Totaro, Carl T. Ludden, John M. Stavorski, Michael E. Sobel, Herbert C. Wenger, Charles A. Ross, Bo Zhang and Mary Lou Torchiana. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Educational and Psychological Measurement, Educational Measurement Issues and Practice and Applied Measurement in Education.

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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