K Ostrowski

1.0k citations
87 papers · 623 indexed · h-index 15

Impact in

Papers in

K Ostrowski

76 papers receiving 587 citations

Peers

K Ostrowski
Comparison fields: 5 of 112
  • Transplantation 164
  • Hepatology 66
  • Nephrology 54
  • Surgery 229
  • Computer Networks and Communications 105
Replace P. Mohan with:
P. Mohan Singapore
Alexandre Mota Brazil
Rohit Anand India
Vasilis K. Papanikolaou Greece
Prasun Bhattacharya India
Natasha Khovanova United Kingdom
Yen‐Cheng Chen Taiwan
A. Molino Italy
Dong-In Han South Korea
Hsien‐Chung Yu Taiwan
K Ostrowski relative to P. Mohan Singapore P. Mohan's profile →
Citations per field
00.5×3.3×
P. Mohan · 1×
Citations per year

Countries citing papers authored by K Ostrowski

Since Specialization
Citations

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

Fields of papers citing papers by K Ostrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20163
3
Genetic Algorithm Solving Orienteering Problem in Large Networks
20127
4 20103
5 20090
6 200762
7
QuickSilver Scalable Multicast
20075
8 20063
9 20064
10 200545
11
New therapeutic options of carcinoid syndrome metastatic to the liver.
20011
12 199932
13 199817
14 19987
15 19987
16 199814
17 19986
18 199316
19
Optical diffractometry of the developing or disaggregating Reinke crystals in the Leydig cells of the human testis.
19871
20
Migration inhibition test based on the culture of spleen fragments: a quantitative analysis.
19721

About K Ostrowski

K Ostrowski is a scholar working on Transplantation, Nephrology, Computer Networks and Communications, Hepatology and Transportation, having authored 87 papers that have together received 623 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (17 papers), Organ Donation and Transplantation (14 papers), Organ Transplantation Techniques and Outcomes (14 papers), Peer-to-Peer Network Technologies (13 papers), Distributed systems and fault tolerance (13 papers), Parathyroid Disorders and Treatments (7 papers), Distributed and Parallel Computing Systems (7 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Transplantation (164 citations), Hepatology (66 citations), Nephrology (54 citations), Surgery (229 citations) and Computer Networks and Communications (105 citations). K Ostrowski has collaborated with scholars based in Poland, United States and Israel. Frequent co-authors include Ken Birman, Danny Dolev, A. Chmura, Michał Wszola, W Rowińskí, Magdalena Durlik, Piotr Domagała, Wojciech Lisik, Leszek Pączek and A. Kwiatkowski. Their work appears in journals such as Transplant International, Sensors, Transplantation Proceedings, IEEE Internet Computing and Annals of Operations Research.

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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2026