David Hall

2.8k citations
36 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

David Hall

36 papers receiving 1.9k citations

Hit Papers

How good is automated protein docking? 2013 · 556 citations
5562013202620172021100200300400500

Peers

David Hall
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 454
  • Molecular Biology 1.1k
  • Orthodontics 68
  • Hardware and Architecture 83
  • Microbiology 46
Replace Sissades Tongsima with:
Sissades Tongsima Thailand
Jinn‐Moon Yang Taiwan
Hideo Matsuda Japan
Xiaoyu Feng China
Chun‐Yuan Lin Taiwan
Thomas F. Knight United States
Peter Rossmanith Germany
Kentaro Shimizu Japan
Yumin Wang China
Jorng‐Tzong Horng Taiwan
David Hall relative to Sissades Tongsima Thailand Sissades Tongsima's profile →
Citations per field
00.5×10×17×
Sissades Tongsima · 1×
Citations per year

Countries citing papers authored by David Hall

Since Specialization
Citations

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

Fields of papers citing papers by David Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Hall. 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 David Hall. The network helps show where David Hall may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 202119
3
Benchmarking Sampling-based Probabilistic Object Detectors.
201912
4 201893
5
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.
20185
6 201817
7 2016203
8 201590
9 201578
10 201325
11 201357
12
How good is automated protein docking?
Hit paper breakdown →
2013556
13 2012119
14 201146
15
Usage of Fault Detection Isolation & Recovery (FDIR) in Constellation (CxP) Launch Operations
20101
16
Thick PDC, Shaped Cutters For Geothermal Drilling: A Fixed Cutter Solution For a Roller Cone Drilling Environment
201019
17 201085
18
NITINOL 60 AS A MATERIAL FOR SPACECRAFT TRIBOELEMENTS
200911
19 200311
20 197465

About David Hall

David Hall is a scholar working on Computational Theory and Mathematics, Orthodontics, Ocean Engineering, Civil and Structural Engineering and Artificial Intelligence, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (9 papers), Tunneling and Rock Mechanics (5 papers), Drilling and Well Engineering (5 papers), Smart Agriculture and AI (4 papers), Chemical Synthesis and Analysis (4 papers), Fault Detection and Control Systems (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Computational Theory and Mathematics (454 citations), Molecular Biology (1.1k citations), Orthodontics (68 citations), Hardware and Architecture (83 citations) and Microbiology (46 citations). David Hall has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sándor Vajda, Dima Kozakov, Dmitri Beglov, Tanggis Bohnuud, Scott E. Mottarella, Bing Xia, Adrian Whitty, Brandon S. Zerbe, Laurie E. Grove and Feras Dayoub. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Journal of Dental Research, Future Medicinal Chemistry and Computers and Electronics in Agriculture.

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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