Peter A. Jansen

961 citations
39 papers · 648 · h-index 13

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Explainable Artificial Intelligence (XAI)
    • Logic, Reasoning, and Knowledge
    • Domain Adaptation and Few-Shot Learning
    • Information Retrieval and Search Behavior

Papers in

Peter A. Jansen

36 papers receiving 617 citations

Peers

Peter A. Jansen
Comparison fields: 5 of 47
  • Artificial Intelligence 520
  • Information Systems 121
  • Computer Vision and Pattern Recognition 93
  • Computer Science Applications 7
  • Instrumentation 3
Replace Ge Shi with:
Ge Shi China
Julien Pérez France
Jimmy Secretan United States
Amir-Hossein Karimi Canada
Jawad Khan South Korea
Pu Li China
Yao-Chung Fan Taiwan
Krzysztof Pietroszek United States
João Silva Portugal
Peter A. Jansen relative to Ge Shi China Ge Shi's profile →
Citations per field
00.5×2×4×5.9×
Ge Shi · 1×
Citations per year

Countries citing papers authored by Peter A. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Jansen. 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 Peter A. Jansen. The network helps show where Peter A. Jansen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 201490
3 202155
4 201642
5 201536
6 201731
7 201226
8
WorldTree V2: A corpus of science-domain structured explanations and inference patterns supporting multi-hop inference
202026
9 201422
10 201922
11 202022
12 201819
13 202013
14 201512
15 201812
16 200811
17 20209
18 20128
19 20188
20 20198

About Peter A. Jansen

Peter A. Jansen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Information Systems and Signal Processing, having authored 39 papers that have together received 648 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers), Explainable Artificial Intelligence (XAI) (5 papers), Multimodal Machine Learning Applications (5 papers), Information Retrieval and Search Behavior (4 papers), Remote-Sensing Image Classification (3 papers), AI-based Problem Solving and Planning (3 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Artificial Intelligence (520 citations), Information Systems (121 citations), Computer Vision and Pattern Recognition (93 citations), Computer Science Applications (7 citations) and Instrumentation (3 citations). Peter A. Jansen has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Peter E. Clark, Mihai Surdeanu, Tushar Khot, Ashish Sabharwal, Dmitry Ustalov, Scott Watter, Oyvind Tafjord, Michael Hammond, Bhavana Bharat Dalvi and Daniel Fried. Their work appears in journals such as Behavior Research Methods, Connection Science, Optics Express, Transactions of the Association for Computational Linguistics and Vision Research.

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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