Hugues Bouchard

888 citations
18 papers · 531 · h-index 9

Impact in

Papers in

Hugues Bouchard

15 papers receiving 500 citations

Peers

Hugues Bouchard
Comparison fields: 5 of 77
  • Information Systems 232
  • Management Science and Operations Research 102
  • Pharmacology 126
  • Artificial Intelligence 186
  • Computer Science Applications 31
Replace Kim Wuyts with:
Kim Wuyts Belgium
Antonino Rotolo Italy
Hau Chan United States
Vito Walter Anelli Italy
Malaya Dutta Borah India
Javier Parra‐Arnau Spain
Milija Suknović Serbia
Claudio Conversano Italy
Chen Hajaj Israel
Dimitris Kotzinos France
Hugues Bouchard relative to Kim Wuyts Belgium Kim Wuyts's profile →
Citations per field
00.5×10×20×25.2×
Kim Wuyts · 1×
Citations per year

Countries citing papers authored by Hugues Bouchard

Since Specialization
Citations

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

Fields of papers citing papers by Hugues Bouchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013144
2 2018142
3 201882
4 200764
5 201241
6 202114
7 20249
8 20108
9 20238
10 20175
11 20245
12 20224
13 20122
14 20231
15 20201
16 20211
17 20250
18 20240

About Hugues Bouchard

Hugues Bouchard is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Signal Processing, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Web Data Mining and Analysis (4 papers), Topic Modeling (4 papers), Information Retrieval and Search Behavior (4 papers), FinTech, Crowdfunding, Digital Finance (3 papers), Caching and Content Delivery (3 papers), Consumer Market Behavior and Pricing (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Information Systems (232 citations), Management Science and Operations Research (102 citations), Pharmacology (126 citations), Artificial Intelligence (186 citations) and Computer Science Applications (31 citations). Hugues Bouchard has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Rishabh Mehrotra, James O. McInerney, Mounia Lalmas, Fernando Díaz, Jonathan Cloutier, Louis Paradis, Matthieu Picard, Philippe Bégin, Jonathan Lacombe‐Barrios and Anne Des Roches. Their work appears in journals such as The Journal of Allergy and Clinical Immunology In Practice, Allergy Asthma and Clinical Immunology, Journal of Transplantation and IRIS Research product catalog (Sapienza University of Rome).

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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