Kevin Baum

2.1k citations
50 papers · 1.2k · 1 hit paper · h-index 16

Impact in

Papers in

Kevin Baum

46 papers receiving 1.2k citations

Kevin Baum's Hit Papers

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research 2021 · 336 citations
3360+1+3Years since publication100200300

Peers

Kevin Baum
Comparison fields: 5 of 94
  • Health Informatics 122
  • Safety Research 231
  • Computer Networks and Communications 518
  • Artificial Intelligence 376
  • Electrical and Electronic Engineering 600
Replace Diptikalyan Saha with:
Diptikalyan Saha India
Nikolaos D. Tselikas Greece
Alessandro Checco United Kingdom
Philipp Schmidt Germany
Kalapriya Kannan India
Prasanna Sattigeri United States
Enis Karaarslan Türkiye
Ingrid Nunes Brazil
Stuart Russell United States
Daochen Zha United States
Kevin Baum relative to Diptikalyan Saha India Diptikalyan Saha's profile →
Citations per field
00.5×9.8×
Diptikalyan Saha · 1×
Citations per year

Countries citing papers authored by Kevin Baum

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Hit paper breakdown →
2021336
2 200582
3 200381
4 200376
5 202170
6 201966
7 202258
8 200557
9 200246
10 200245
11 200543
12 200333
13 202130
14 200426
15 202316
16 200616
17 200615
18 200213
19 202412
20 202512

About Kevin Baum

Kevin Baum is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Safety Research, Artificial Intelligence and Sociology and Political Science, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (24 papers), Wireless Communication Networks Research (20 papers), Advanced Wireless Network Optimization (16 papers), Advanced MIMO Systems Optimization (15 papers), Ethics and Social Impacts of AI (11 papers), PAPR reduction in OFDM (10 papers), Power Line Communications and Noise (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). The work is most often cited by research in Health Informatics (122 citations), Safety Research (231 citations), Computer Networks and Communications (518 citations), Artificial Intelligence (376 citations) and Electrical and Electronic Engineering (600 citations). Kevin Baum has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Markus Langer, Timo Speith, Philippe Sartori, Frederick W. Vook, Eva Schmidt, Daniel Oster, Timothy A. Thomas, Brian Classon, Holger Hermanns and Lena Kästner. Their work appears in journals such as Computers in Human Behavior, IEEE Transactions on Vehicular Technology, Formal Methods in System Design, International Journal of Selection and Assessment and Minds and Machines.

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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