Michael Schulze

3.2k citations
82 papers · 2.2k · h-index 26

Impact in

  • Urology top 0.5%
    • Urinary Bladder and Prostate Research
    • Urological Disorders and Treatments
  • Software top 5%

Papers in

Michael Schulze

71 papers receiving 2.1k citations

Peers

Michael Schulze
Comparison fields: 5 of 108
  • Urology 424
  • Software 148
  • Pulmonary and Respiratory Medicine 689
  • Information Systems 351
  • Surgery 569
Replace Dimitris Mitropoulos with:
Dimitris Mitropoulos Greece
Joseph M. Caruso United States
Pietro Piazzolla Italy
Annette Haworth Australia
Luca Melis Italy
Hitesh Shah India
Ismaïl Khalil Austria
Andrew King United Kingdom
Federico Ferrari Italy
David S. Johnson United Kingdom
Michael Schulze relative to Dimitris Mitropoulos Greece Dimitris Mitropoulos's profile →
Citations per field
00.5×10×15×18.4×
Dimitris Mitropoulos · 1×
Citations per year

Countries citing papers authored by Michael Schulze

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003290
2 2010216
3 2004161
4 2003138
5 200593
6 200492
7 200280
8 200776
9 200774
10 201270
11 201157
12 201053
13 201352
14 201252
15 200750
16 200345
17 200938
18 200737
19 201235
20 200630

About Michael Schulze

Michael Schulze is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Information Systems, Surgery and Urology, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (19 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Urinary Bladder and Prostate Research (9 papers), Software Engineering Research (9 papers), Service-Oriented Architecture and Web Services (7 papers), Real-Time Systems Scheduling (6 papers), Distributed systems and fault tolerance (6 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Urology (424 citations), Software (148 citations), Pulmonary and Respiratory Medicine (689 citations), Information Systems (351 citations) and Surgery (569 citations). Michael Schulze has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Jens Rassweiler, Thomas Frede, Doğu Teber, Othmar Seemann, Martin Hatzinger, Christian Kästner, Jens Rassweiler, Jörg Liebig, Sven Apel and Christian Lengauer. Their work appears in journals such as The Journal of Urology, Journal of Endourology, European Urology, British Journal of Urology and Journal of Applied Crystallography.

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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