Philipp Schmidt

989 citations
16 papers · 639 · 1 hit paper · h-index 11

Impact in

Papers in

Philipp Schmidt

15 papers receiving 591 citations

Philipp Schmidt's Hit Papers

Transparency and trust in artificial intelligence systems 2020 · 260 citations
2600+2+4Years since publication50100150200250

Peers

Philipp Schmidt
Comparison fields: 5 of 86
  • Health Informatics 35
  • Safety Research 100
  • Management Science and Operations Research 124
  • Artificial Intelligence 260
  • Information Systems and Management 51
Replace Ingrid Nunes with:
Ingrid Nunes Brazil
Joon Sung Park United States
Sugato Bagchi United States
Joseph O’Brien United States
Anthony Ventresque Ireland
Gero Strobel Germany
Gagan Bansal United States
Kostas Stathis United Kingdom
Avi Rosenfeld Israel
Ajay Bandi United States
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Citations per field
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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 18 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

16 of 16 papers shown
#Work
1
Transparency and trust in artificial intelligence systems
Hit paper breakdown →
2020260
2 2018145
3 201852
4 201342
5 201041
6 202019
7 201215
8 200914
9
Automated data validation in machine learning systems
202114
10 200811
11 201911
12
DEEQU - Data Quality Validation for Machine Learning Pipelines
20185
13 20215
14 20174
15 20201
16 20240

About Philipp Schmidt

Philipp Schmidt is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Electrical and Electronic Engineering and Management Information Systems, having authored 16 papers that have together received 639 indexed citations. Recurring topics across this work include Data Quality and Management (4 papers), Advanced Database Systems and Queries (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Ethics and Social Impacts of AI (2 papers), Wireless Networks and Protocols (2 papers), Big Data and Business Intelligence (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Health Informatics (35 citations), Safety Research (100 citations), Management Science and Operations Research (124 citations), Artificial Intelligence (260 citations) and Information Systems and Management (51 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, Mesut Güneş and Ruben Merz. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Decision System, Lecture notes in computer science, 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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