Michal Hlaváč

1.3k citations
44 papers · 964 indexed · h-index 18

Michal Hlaváč

40 papers receiving 950 citations

Peers

Michal Hlaváč
Comparison fields: 5 of 85
  • Genetics 363
  • Endocrinology, Diabetes and Metabolism 315
  • Epidemiology 227
  • Radiology, Nuclear Medicine and Imaging 144
  • Surgery 267
Replace Jin Wook Kim with:
Jin Wook Kim South Korea
Andrej Paľa Germany
Hani Malone United States
Barbara Carl Germany
Erick M. Westbroek United States
Yun‐Sik Dho South Korea
Tae Hoon Roh South Korea
Fabio Cofano Italy
Xiaochun Zhao United States
Anthony D’Ambrosio United States
Michal Hlaváč relative to Jin Wook Kim South Korea Jin Wook Kim's profile →
Citations per field
00.5×3.3×
Jin Wook Kim · 1×
Citations per year

Countries citing papers authored by Michal Hlaváč

Since Specialization
Citations

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

Fields of papers citing papers by Michal Hlaváč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20240
4 20248
5 20230
6 20223
7 202153
8 202112
9 20212
10 201920
11
Augmented reality-assisted ventricular puncture with marker-based scene registration
20193
12 201813
13 20158
14 2014108
15 201432
16 201346
17 201210
18
Multimodale Navigation und intraoperative Hochfeld-Magnetresonanztomographie bei transsphenoidaler Resektion komplexer Hypophysenadenome
20111
19 200643
20 20019

About Michal Hlaváč

Michal Hlaváč is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Structural Biology, having authored 44 papers that have together received 964 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (15 papers), Pituitary Gland Disorders and Treatments (13 papers), Cerebrospinal fluid and hydrocephalus (7 papers), Advanced MRI Techniques and Applications (7 papers), Adrenal and Paraganglionic Tumors (6 papers), Surgical Simulation and Training (5 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Genetics (363 citations), Endocrinology, Diabetes and Metabolism (315 citations) and Epidemiology (227 citations). Michal Hlaváč has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Rainer Wirtz, Jan Coburger, Ralph König, Andrej Paľa, Rudolf Fahlbusch, Bernd Hofmann, Jens Engelke, Otto Müller, Michael Buchfelder and Dietmar Rudolf Thal. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and British Journal of Cancer.

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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