Alan P. Batson

445 citations
26 papers · 339 · h-index 9

Impact in

Papers in

Alan P. Batson

24 papers receiving 289 citations

Peers

Alan P. Batson
Comparison fields: 5 of 25
  • Hardware and Architecture 182
  • Nuclear and High Energy Physics 86
  • Computer Networks and Communications 57
  • Artificial Intelligence 65
  • Information Systems 20
Replace Hiroshi Sasaki with:
Hiroshi Sasaki Japan
Roman Iakymchuk Sweden
Adam Kolawa United States
Vikram A. Saletore United States
Philip E. Davis United States
Enric Tejedor Switzerland
David Parello France
Karthikeyan Vaidyanathan United States
William H. Burge United States
Pavel Saviankou Germany
Alan P. Batson relative to Hiroshi Sasaki Japan Hiroshi Sasaki's profile →
Citations per field
00.5×1.5×1.9×
Hiroshi Sasaki · 1×
Citations per year

Countries citing papers authored by Alan P. Batson

Since Specialization
Citations

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

Fields of papers citing papers by Alan P. Batson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan P. Batson. 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 Alan P. Batson. The network helps show where Alan P. Batson may publish in the future.

Co-authors

The 7 scholars most cited alongside Alan P. Batson, 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 Alan P. Batson Line = papers co-authored together Alan P. Batson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197689
2 195941
3 197639
4 199826
5 195919
6 197015
7 197715
8 197612
9 19569
10 19609
11
Structure within Locality Intervals
19779
12 19748
13 19768
14 19657
15 19697
16 19566
17 19744
18 19633
19 19693
20 19753

About Alan P. Batson

Alan P. Batson is a scholar working on Hardware and Architecture, Nuclear and High Energy Physics, Artificial Intelligence, Computer Science Applications and Statistics and Probability, having authored 26 papers that have together received 339 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Logic, programming, and type systems (9 papers), Nuclear physics research studies (5 papers), Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers), History of Computing Technologies (2 papers), French Literature and Criticism (1 paper) and Spatial and Panel Data Analysis (1 paper). The work is most often cited by research in Hardware and Architecture (182 citations), Nuclear and High Energy Physics (86 citations), Computer Networks and Communications (57 citations), Artificial Intelligence (65 citations) and Information Systems (20 citations). Alan P. Batson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include B. B. Culwick, David Carrico Wood, J.H. Aylor, Wm. A. Wulf, Sally A. McKee, Robert H. Klenke and David W.E. Blatt. Their work appears in journals such as Communications of the ACM, Computer, ACM SIGMETRICS Performance Evaluation Review, Modern Language Journal and ACM SIGOPS Operating Systems Review.

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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