Michael Schulze

3.2k citations
85 papers · 2.4k · 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

72 papers receiving 2.3k citations

Peers

Michael Schulze
Comparison fields: 5 of 114
  • Urology 461
  • Software 190
  • Pulmonary and Respiratory Medicine 738
  • Information Systems 414
  • Surgery 639
Replace Wolfgang M. Fischer with:
Wolfgang M. Fischer Germany
Joseph M. Caruso United States
Pietro Piazzolla Italy
Jun Wei United States
Annette Haworth Australia
Luca Melis Italy
Andrew King United Kingdom
André Bauer Germany
Ravi K. Samala United States
Bill Chiu United States
Michael Schulze relative to Wolfgang M. Fischer Germany Wolfgang M. Fischer's profile →
Citations per field
00.5×5×10×15×22.0×
Wolfgang M. Fischer · 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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003315
2 2010251
3 2004171
4 2003149
5 2005100
6 200494
7 200286
8 200778
9 200778
10 201277
11 201061
12 201160
13 201254
14 201353
15 200752
16 200348
17 201143
18 200741
19 201338
20 200938

About Michael Schulze

Michael Schulze is a scholar working on Artificial Intelligence, Information Systems, Urology, Software and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (22 papers), Service-Oriented Architecture and Web Services (11 papers), Software Engineering Research (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Urinary Bladder and Prostate Research (7 papers), Distributed systems and fault tolerance (6 papers), Real-Time Systems Scheduling (6 papers) and Model-Driven Software Engineering Techniques (5 papers). The work is most often cited by research in Urology (461 citations), Software (190 citations), Pulmonary and Respiratory Medicine (738 citations), Information Systems (414 citations) and Surgery (639 citations). Michael Schulze has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Jens Jochen Rassweiler, Thomas Frede, Doğu Teber, Othmar Seemann, Christian Kästner, Martin Hatzinger, Sven Apel, Jens Rassweiler, Jörg Liebig and Christian Lengauer. Their work appears in journals such as Journal of Endourology, The Journal of Urology, 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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