Benjamin Kille

570 citations
47 papers · 417 · h-index 11

Impact in

Papers in

Benjamin Kille

44 papers receiving 377 citations

Peers

Benjamin Kille
Comparison fields: 5 of 31
  • Information Systems 335
  • Management Science and Operations Research 102
  • Artificial Intelligence 212
  • Computer Vision and Pattern Recognition 127
  • Computer Science Applications 26
Replace Andreas Lommatzsch with:
Andreas Lommatzsch Germany
Hande Dong China
Aleksandr Chuklin Netherlands
Fabiano Belém Brazil
Bo Long United States
Leo Iaquinta Italy
Roberto Mirizzi Italy
Keping Yang China
Benjamin Kille relative to Andreas Lommatzsch Germany Andreas Lommatzsch's profile →
Citations per field
00.5×4.3×
Andreas Lommatzsch · 1×
Citations per year

Countries citing papers authored by Benjamin Kille

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Kille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201433
3 201733
4 201627
5
Increasing Diversity Through Furthest Neighbor-Based Recommendation
201227
6 201723
7 201419
8 201319
9 201513
10 201211
11 201611
12 201710
13
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms
20169
14 20119
15 20159
16 20198
17 20198
18
NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content
20187
19
Modeling Difficulty in Recommender Systems.
20127
20
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems
20176

About Benjamin Kille

Benjamin Kille is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Sociology and Political Science, having authored 47 papers that have together received 417 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (36 papers), Topic Modeling (12 papers), Image Retrieval and Classification Techniques (11 papers), Advanced Bandit Algorithms Research (10 papers), Video Analysis and Summarization (7 papers), Data Stream Mining Techniques (6 papers), Misinformation and Its Impacts (5 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Information Systems (335 citations), Management Science and Operations Research (102 citations), Artificial Intelligence (212 citations), Computer Vision and Pattern Recognition (127 citations) and Computer Science Applications (26 citations). Benjamin Kille has collaborated with scholars based in Germany, Norway and Netherlands. Frequent co-authors include Frank Hopfgartner, Şahin Albayrak, Andreas Lommatzsch, Andreas Lommatzsch, Alan Said, Till Plumbaum, Brijnesh J. Jain, Roberto Turrin, Martha Larson and Jon Atle Gulla. Their work appears in journals such as Advances in computer vision and pattern recognition, ACM SIGIR Forum, Lecture notes in computer science, Communications in computer and information science and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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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