Daniel L. Murphy

427 citations
19 papers · 326 · h-index 9

Impact in

Papers in

Daniel L. Murphy

17 papers receiving 271 citations

Peers

Daniel L. Murphy
Comparison fields: 5 of 68
  • Hardware and Architecture 97
  • Computer Networks and Communications 161
  • Statistics and Probability 26
  • Artificial Intelligence 79
  • Management Science and Operations Research 29
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Citations per field
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Citations per year

Countries citing papers authored by Daniel L. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel L. Murphy, 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 L. Murphy Line = papers co-authored together Daniel L. Murphy links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1972131
2 196754
3 200940
4 200918
5 197113
6 201113
7 197212
8 196810
9 20109
10 20168
11 20136
12 20155
13
Value-Added Models in the Evaluation of Teacher Effectiveness: A Comparison of Models and Outcomes. Research Report.
20123
14 19931
15 19931
16 19931
17 19931
18
Putting Ducks in a Row: Methods for Empirical Alignment of Performance Standards
20120
19 20140

About Daniel L. Murphy

Daniel L. Murphy is a scholar working on Computer Networks and Communications, Hardware and Architecture, Education, Astronomy and Astrophysics and Management Science and Operations Research, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), School Choice and Performance (4 papers), Psychometric Methodologies and Testing (4 papers), Ionosphere and magnetosphere dynamics (3 papers), Solar and Space Plasma Dynamics (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (97 citations), Computer Networks and Communications (161 citations), Statistics and Probability (26 citations), Artificial Intelligence (79 citations) and Management Science and Operations Research (29 citations). Daniel L. Murphy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel G. Bobrow, Jerry D. Burchfiel, Raymond S. Tomlinson, Keenan A. Pituch, Richard L. Tate, S. Natasha Beretvas, Barbara G. Dodd, Y. T. Chiu, Yam T. Chiu and Matthew Gaertner. Their work appears in journals such as The Journal of Experimental Education, Communications of the ACM, Applied Psychological Measurement, Applied Measurement in Education and Reflective Practice.

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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