H. B. Mitchell

2.1k citations
55 papers · 1.8k · h-index 18

Impact in

Papers in

H. B. Mitchell

50 papers receiving 1.6k citations

Peers

H. B. Mitchell
Comparison fields: 5 of 121
  • Management Science and Operations Research 903
  • Statistics and Probability 471
  • Media Technology 194
  • Artificial Intelligence 622
  • Computational Theory and Mathematics 305
Replace Éloi Bossé with:
Éloi Bossé Canada
Yafei Song China
Jiulun Fan China
Miguel Pagola Spain
Lei Lei China
Derek T. Anderson United States
Anne-Laure Jousselme Canada
Olivia Mendoza Mexico
Robert Kennes Belgium
Hongxing Li China
H. B. Mitchell relative to Éloi Bossé Canada Éloi Bossé's profile →
Citations per field
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Citations per year

Countries citing papers authored by H. B. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by H. B. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. B. Mitchell. 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 H. B. Mitchell. The network helps show where H. B. Mitchell may publish in the future.

Co-authors

The 1 scholars most cited alongside H. B. Mitchell, 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 H. B. Mitchell Line = papers co-authored together H. B. Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003364
2 2007243
3 2004141
4 2004115
5 2012114
6 2010110
7 201099
8 199779
9 200665
10 200153
11 199946
12 199836
13 200035
14 200033
15 199128
16 200425
17 200520
18 201020
19 199216
20 199416

About H. B. Mitchell

H. B. Mitchell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability, Management Science and Operations Research and Signal Processing, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), Advanced Data Compression Techniques (13 papers), Multi-Criteria Decision Making (10 papers), Neural Networks and Applications (10 papers), Fuzzy Systems and Optimization (9 papers), Fuzzy Logic and Control Systems (7 papers), Medical Image Segmentation Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Management Science and Operations Research (903 citations), Statistics and Probability (471 citations), Media Technology (194 citations), Artificial Intelligence (622 citations) and Computational Theory and Mathematics (305 citations). H. B. Mitchell has collaborated with scholars based in Israel, Pakistan and United States. Frequent co-authors include J. Wachtel. Their work appears in journals such as International Journal of Intelligent Systems, Signal Processing Image Communication, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Electronics Letters and Signal Processing.

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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