Philipp Schmidt

939 citations
14 papers · 520 · 1 hit paper · h-index 9

Impact in

Papers in

Philipp Schmidt

14 papers receiving 492 citations

Philipp Schmidt's Hit Papers

Transparency and trust in artificial intelligence systems 2020 · 199 citations
1990+2+4Years since publication50100150

Peers

Philipp Schmidt
Comparison fields: 5 of 85
  • Health Informatics 29
  • Management Science and Operations Research 111
  • Safety Research 74
  • Artificial Intelligence 220
  • Information Systems and Management 44
Replace Natalia Criado with:
Natalia Criado United Kingdom
Joon Sung Park United States
Faten Kharbat United Arab Emirates
James Schaffer United States
Alessandro Checco United Kingdom
Joseph O’Brien United States
Tongshuang Wu United States
Gagan Bansal United States
Jay Pujara United States
Andrea Vázquez‐Ingelmo Spain
Philipp Schmidt relative to Natalia Criado United Kingdom Natalia Criado's profile →
Citations per field
00.5×2.7×
Natalia Criado · 1×
Citations per year

Countries citing papers authored by Philipp Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Philipp Schmidt, 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 Philipp Schmidt Line = papers co-authored together Philipp Schmidt links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Transparency and trust in artificial intelligence systems
Hit paper breakdown →
2020199
2 2018130
3 201846
4 201342
5 201035
6
Automated data validation in machine learning systems
202115
7 200912
8 201211
9 201910
10 20087
11
DEEQU - Data Quality Validation for Machine Learning Pipelines
20185
12 20214
13 20173
14 20201

About Philipp Schmidt

Philipp Schmidt is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering and Management Information Systems, having authored 14 papers that have together received 520 indexed citations. Recurring topics across this work include Data Quality and Management (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced Database Systems and Queries (3 papers), Big Data and Business Intelligence (2 papers), Wireless Networks and Protocols (2 papers), Mobile Ad Hoc Networks (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (29 citations), Management Science and Operations Research (111 citations), Safety Research (74 citations), Artificial Intelligence (220 citations) and Information Systems and Management (44 citations). Philipp Schmidt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Felix Bießmann, Timm Teubner, Dustin Lange, Sebastian Schelter, Anja Feldmann, Volker Röth, Ramin Khalili, David Salinas, Ruben Merz and Mesut Güneş. Their work appears in journals such as Journal of Decision System, Proceedings of the VLDB Endowment, Zenodo (CERN European Organization for Nuclear Research) and Refubium (Universitätsbibliothek der Freien Universität Berlin).

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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